Senior GenAI/ML Solutions Architect

Amazon Web Services (AWS); Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

AWS EMEA SARL (UK Branch) seeks a Senior GenAI/ML Specialist Solutions Architect to drive GenAI/ML adoption for large enterprise customers in the UK. You will design architectures, advise C-suite stakeholders, and lead PoCs and workshops to accelerate AI transformation.

Candidates bring hands-on ML experience, strong communication skills, and domain expertise in NLP, vision, or recommender systems. Knowledge of AWS AI/ML services like SageMaker and Bedrock is highly valued.

Qualifications

• Bachelor's degree or equivalent in CS/engineering/math.
• Experience in IT development or consulting in software/Internet industries.
• Experience in design, implementation, or consulting in applications and infrastructures.
• Ability to communicate across technical and non-technical audiences, including executives.

Responsibilities

• Provide deep technical expertise in Generative AI and ML, designing innovative AWS-based solutions.
• Act as trusted advisor to executives and leaders, translating technical concepts into business value.
• Lead architectural reviews, workshops, and proofs-of-concept to advance technical objectives.
• Share best practices through AWS blogs, whitepapers, architectures, and community education.
• Gather customer insights to inform AWS product teams on market needs.
• Represent AWS at industry events and conferences like AWS Summit and re:Invent.

Skills

GenAI/ML expertise

Solutions architecture

Stakeholder communication

ML pipelines

Public speaking

Education

Bachelor's degree in computer science, engineering, mathematics or equivalent

Tools

PyTorch

TensorFlow

Hugging Face

scikit-learn

Amazon SageMaker

Amazon Bedrock

Amazon Rekognition

Job description

AWS EMEA SARL (UK Branch) seeks a Senior GenAI/ML Specialist Solutions Architect to drive GenAI/ML adoption for large enterprise customers in the UK. You will design architectures, advise C-suite stakeholders, and lead PoCs and workshops to accelerate AI transformation.

Candidates bring hands-on ML experience, strong communication skills, and domain expertise in NLP, vision, or recommender systems. Knowledge of AWS AI/ML services like SageMaker and Bedrock is highly valued.